The importance of artificial intelligence (AI) and machine learning (ML) in cardiovascular imaging lies in interpreting images rapidly, enabelingimproved quality, preventing the interobserver and intraobserver interpretation variance, making quantification, reporting, diagnosis and risk prediction feasible (1).
📌 3 Maddede Bu Makale
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Amaç & Hipotez:Advances in cardiovascular imaging is seeking to parallel to radiology which has been leading this field.
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Temel Bulgular & Veri:Advances in cardiovascular imaging is seeking to parallel to radiology which has been leading this field.
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Sonuç & Katkı:The importance of artificial intelligence (AI) and machine learning (ML) in cardiovascular imaging lies in interpreting images rapidly, enabelingimproved quality, preventing the interobserver and intraobserver interpretation variance, making quantification, reporting, diagnosis and risk prediction feasible (1).
🔬Tür:Modelleme & Sayısal Simülasyon
📍Kapsam:Genişletilmiş Akademik Örneklem
⚙️Değişkenler:Alan Parametreleri
Özet
Advances in cardiovascular imaging is seeking to parallel to radiology which has been leading this field. The importance of artificial intelligence (AI) and machine learning (ML) in cardiovascular imaging lies in interpreting images rapidly, enabelingimproved quality, preventing the interobserver and intraobserver interpretation variance, making quantification, reporting, diagnosis and risk prediction feasible (1).
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Bu Makaleye Atıf Yap
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